Performance Comparison between Optimal Controller based on System Identification and Fuzzy Logic Controller for a Boiler-Turbine Unit

被引:0
|
作者
Ibrahim, Amr M. [1 ]
机构
[1] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo, Egypt
关键词
Boiler-Turbine Unit; Fuzzy Logic Controller; System Identification; Optimal Controller; PREDICTIVE CONTROL STRATEGY; MODEL;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Boiler-Turbine Unit (BTU) is the core of manufacturing any thermal power stations. BTU is a non-linear multivariable system that required a precise control design to overcome the system complexity. In this paper, a model for nonlinear BTU is obtained. Two controlling techniques are proposed to improve the performance of the boiler-turbine unit. The control process is, firstly, accomplished via utilizing an optimal controller based on a linear model for BTU. This linear model is provided by using system identification technique in order to enhance the controlling process. Secondly, a Fuzzy Logic Controller (FLC) is used to compensate the system non linearity and parameters uncertainty. The results clarify the efficient performance of the two control methods under vast range of input disturbances. Also, a performance comparison between the two controllers has been discussed.
引用
收藏
页码:52 / 58
页数:7
相关论文
共 50 条
  • [31] Optimal Tracking Control of the Boiler-turbine System Based on Adaptive Dynamic Programming
    Liu, Yujia
    Gao, Aiguo
    Wei, Qinglai
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [32] Fuzzy Logic Based High Performance PID Controller
    De , Ritu Rani
    Mudi, Rajani K.
    2014 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO), 2014, : 183 - 187
  • [33] Design And Comparison Of Performance Of Dfig Based Wind Turbine With Pid Controller, Fuzzy Controller, Artificial Neural Network And Model Predictive Controller
    Naresh K.
    Reddy P.U.
    Sujatha P.
    EAI Endorsed Trans. Energy Web, 37 (1-14): : 1 - 14
  • [34] Comparison of Mamdani and Sugeno Fuzzy Logic Performance as Speed Controller
    Saleh, Izzati
    Alhady, S. S. N.
    Rahiman, Wan
    9TH INTERNATIONAL CONFERENCE ON ROBOTIC, VISION, SIGNAL PROCESSING AND POWER APPLICATIONS: EMPOWERING RESEARCH AND INNOVATION, 2017, 398 : 369 - 376
  • [35] A dynamic nonlinear model used for controller design of a 600 MW supercritical circulating fluidized bed boiler-turbine unit
    Zhang, Hongfu
    Gao, Mingming
    Yu, Haoyang
    Fan, Haohao
    Zhang, Jiahui
    APPLIED THERMAL ENGINEERING, 2022, 212
  • [36] LQG Controller Based on Fuzzy Logic to Control the Power of Wind Turbine
    Shahravanmehr, Shirin
    Fakharian, Ahmad
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1547 - 1552
  • [37] Fuzzy Logic Based MPPT Controller for a PV System
    Robles Algarin, Carlos
    Taborda Giraldo, John
    Rodriguez Alvarez, Omar
    ENERGIES, 2017, 10 (12)
  • [38] A DC drive system based on fuzzy logic controller
    Sun, TC
    Tang, YC
    Gong, MZ
    PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON FLUID POWER TRANSMISSION AND CONTROL, 1999, : 103 - 106
  • [39] Optimal Controller and Controller Based on Differential Flatness in a Linear Guide System: A Performance Comparison of Indexes
    Gomez Becerra, Fabio Abel
    Olivares Peregrino, Victor Hugo
    Blanco Ortega, Andres
    Linares Flores, Jesus
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [40] Multivariable closed-loop identification and its application to boiler-turbine system of power unit
    Chen, Shi-he
    Wang, Ya-gang
    Zhang, Xi
    Li, Xiao-feng
    Lecture Notes in Control and Information Sciences, 2014, 452 : 249 - 259